Stephen Parry

62 papers receiving 1.2k citations

Peers

Stephen Parry
Comparison fields: 5 of 147
  • Inorganic Chemistry 348
  • Industrial and Manufacturing Engineering 174
  • Geochemistry and Petrology 55
  • Materials Chemistry 431
  • Equine 15
Replace Seong-Su Kim with:
Seong-Su Kim South Korea
Takayuki Sasaki Japan
Caroline Michel France
Xiaoqian Li China
C. Pesquera Spain
Sujata Mishra India
Susanna Wold Sweden
O. Schäf Germany
Ji‐Won Moon United States
Shiwei Cao China
Stephen Parry relative to Seong-Su Kim South Korea Seong-Su Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stephen Parry

Since Specialization
Citations

This map shows the geographic impact of Stephen Parry's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen Parry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Parry more than expected).

Fields of papers citing papers by Stephen Parry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Parry. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen Parry. The network helps show where Stephen Parry may publish in the future.

Co-authors

The 25 scholars most cited alongside Stephen Parry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stephen Parry Line = papers co-authored together Stephen Parry links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015138
2 2019105
3 2013103
4 201477
5 201467
6 201659
7 201849
8 201538
9 202237
10 200736
11 201336
12 201830
13 201525
14 201925
15 201122
16 201521
17 201918
18 202417
19 201917
20 202316

About Stephen Parry

Stephen Parry is a scholar working on Equine, Small Animals, Reproductive Medicine, Inorganic Chemistry and Radiation, having authored 68 papers that have together received 1.2k indexed citations. Recurring topics across this work include Radioactive element chemistry and processing (9 papers), Veterinary Pharmacology and Anesthesia (7 papers), Ovarian function and disorders (7 papers), Physical Activity and Health (5 papers), Obesity, Physical Activity, Diet (4 papers), Veterinary Equine Medical Research (4 papers), X-ray Spectroscopy and Fluorescence Analysis (4 papers) and Nanomaterials for catalytic reactions (3 papers). The work is most often cited by research in Inorganic Chemistry (348 citations), Industrial and Manufacturing Engineering (174 citations), Geochemistry and Petrology (55 citations), Materials Chemistry (431 citations) and Equine (15 citations). Stephen Parry has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Clint A. Sharrad, Giannantonio Cibin, Sungyeol Choi, Mark D. Ogden, James T.M. Amphlett, Ellen M. Moon, J. Frederick W. Mosselmans, Robert M. Kalin, Victoria S. Coker and Mathew P. Watts. Their work appears in journals such as Veterinary Anaesthesia and Analgesia, American Mineralogist, American Journal of Obstetrics and Gynecology, Obesity and American Journal of Veterinary Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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